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Responsible NLP Blog

Advances in Ethics, Privacy, Security, Fairness, Reliability, Transparency, and Accountability in Natural Language Processing.

In today’s landscape of AI-driven recruitment, candidate-job matching models play a pivotal role in enhancing the hiring process’s efficiency and effectiveness. This necessitates rigorous evaluation to ensure fairness and equity....

Builders and buyers of AI systems are required to test and show that their systems comply with legislation – on safety, discrimination, privacy, transparency, and accountability. This talk covers recent...

Grant will fund R&D of LLMs for automated entity recognition, relation extraction, and ontology metadata...

This talk presents new levels of accuracy that have very recently been achieved, on public and independently reproducible benchmarks, on the three most common use cases for language models in...

This webinar presents key findings from the 2024 Generative AI in Healthcare Survey, conducted in February & March of 2024 by Gradient Flow to assess the key use cases, priorities, and...